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Perceived fear vs. actual probability

What are the odds of being killed by a hurricane (tropical cyclone)?

Lifetime probability · global

1 in ~8,900

0.01% lifetime chance

Most people underestimate this.

Scopes vary — shown as typical adult lifetime odds. See methodology.

Natural · reviewed 2026-06-14

What are the odds of being killed by a hurricane (tropical cyclone)?

Evidence quality 4.5/5

Eight-dimension review score against the quality rubric . Each dimension scored 1–5.

D1 Source grounding
5/5
D2 Source authority
5/5
D3 Arithmetic
4/5
D4 Uncertainty
4/5
D5 Scope
5/5
D6 Prose
4/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.5/5
Direct evidence
Source Government statistic · World Meteorological Organization (WMO)
lifetime, global adult each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 179 1 in 89,286

● your factors — click this risk ▾ to reveal

  1. Your factors
A single stylized spiral shape representing a tropical cyclone from above, rendered in muted blues and grey against a pale sky, flat vector illustration.

Perceived

"Hurricane" in the Atlantic and East Pacific, "typhoon" in the West Pacific, and "cyclone" in the South Pacific and Indian Ocean all refer to the same weather system — a tropical cyclone. Fear of these storms is strongly geographic, and no widely cited national survey isolates "fear of being killed by a hurricane" from general severe-weather or climate anxiety, so we mark the perceived side as editorial intuition. Anecdotally, coastal residents of the US Gulf and Southeast, the Philippines, and the Bay of Bengal tend to carry an explicit prior shaped by the last storm they lived through; inland readers and high-latitude readers tend to treat the hazard as televised rather than real.

Rough estimate: 29.8% of US adults report being afraid or very afraid of a devastating hurricane (Chapman Survey 2024)

Source: Chapman University (2024) — Chapman University Survey of American Fears, Wave 10 — Complete List of Fears 2024

Actual

~15,700 tropical cyclone deaths per year (50-year global average, WMO/CRED 1970-2021)

global

Show derivation

Uses the WMO figure of 779,324 tropical cyclone deaths over the 50-year 1970-2021 window — an average of 43 deaths per day, or ~15,700 per year globally — as the headline native figure. Divided by a global population of ~8 billion and compounded over 60 adult life-years gives ~1.1e-4, which we round to an order-of-magnitude ~1 in 8,900. The window matters enormously: the 1970 Bhola cyclone alone (~300,000-500,000 deaths in what is now Bangladesh) and Cyclone Nargis in 2008 (~138,000 deaths in Myanmar) together account for a large fraction of the 50-year total, and the smoothed post-Nargis average is several times lower. The uncertainty band below reflects window choice and the dominance of rare megaevents, not sampling noise. This is an "average global adult" figure and is not a useful personal estimate for any individual — see the regional breakdown and caveats.

Caveats: The global-average figure is a scale marker, not a personal estimate. Tropical c…

The global-average figure is a scale marker, not a personal estimate. Tropical cyclone mortality is heavily concentrated in a small set of low-lying, densely populated coastlines: the Bay of Bengal (Bangladesh, eastern India, Myanmar), the Philippines and coastal Southeast Asia, and the Caribbean. Within those regions, the per-capita lifetime risk is one to two orders of magnitude higher than the global average. Conversely, inland and high-latitude populations have essentially no direct exposure. The US Gulf and Southeast, despite receiving heavy media coverage, contribute only a small fraction of global cyclone deaths because of early-warning systems, evacuation infrastructure, and building codes — the dominant exception being storm-surge events where evacuation is incomplete (Katrina) and post-storm cascading failures where the official death toll is contested (Maria). The long-run average is also dominated by pre-1990 megaevents; a 30-year window centered on 2000 gives a considerably lower annual number than the 50-year WMO window, which is why the uncertainty band is wide. The 2024 Atlantic season is a reminder that the modern US death toll is not monotonically falling: Hurricane Helene killed at least 250 people in the United States (175 direct, 72 indirect, 3 of unknown cause per the NHC's Tropical Cyclone Report), the deadliest contiguous-US hurricane since Katrina. Notably, most of Helene's direct deaths — 94 of 175 — came from freshwater rainfall and river/flash flooding hundreds of miles inland in the southern Appalachians, more than wind (65) and more than coastal storm surge, which cuts against the common assumption that storm surge is always the dominant US hurricane killer and shows that inland exposure is not zero where remnants stall over terrain.

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Other risks on similar themes — for exploring related fears.

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Drought famine death

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Extreme heat

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Compare to:

Across the 50-year window 1970-2021, the WMO attributes 779,324 deaths to tropical cyclones globally — an average of 43 per day, or roughly 15,700 per year. Divided by eight billion people and compounded over a 60-year adult life, the order-of-magnitude figure is about 1 in 8,900 global lifetime — roughly three times higher than the lifetime tsunami risk at the same global scope, and roughly one-third the global lifetime earthquake risk. It is several hundred times higher than the US lifetime tornado risk, which is the closest domestic natural-disaster comparison most American readers carry.

What makes tropical cyclone numbers unusual is how much they move when you slide the window. The 1970 Bhola cyclone in what is now Bangladesh killed somewhere between 300,000 and 500,000 people in a single night — more than the entire 2004 Indian Ocean tsunami — and Cyclone Nargis in 2008 killed another 138,000 in Myanmar. Those two events alone account for a large fraction of the WMO’s 50-year total. Drop them and the 1990-2020 smoothed average is in the low thousands per year, not the mid five-figures. That is not a statistical curiosity — it is the entire reason policy analysts argue that cyclone mortality is now a solved problem in the places that solve it. Bangladesh’s own per-event death toll fell by roughly two orders of magnitude between 1970 and the 2000s despite rising storm frequency, driven almost entirely by early-warning systems, cyclone shelters, and organized evacuation. Policy works here the way it works for earthquakes: the hazard doesn’t change, but the mortality does.

The regional heterogeneity is the main reason the global number is nearly meaningless for an individual reader. Tropical cyclone risk is essentially a coastal-and-low-latitude story concentrated on a small set of exposed coastlines — the Bay of Bengal, the Philippines and coastal Southeast Asia, and the Caribbean. A resident of Dhaka or coastal Tacloban or low-lying Puerto Rico faces a per-year risk that is one to two orders of magnitude above the global average. A resident of the US Gulf Coast faces a meaningfully lower risk than that because of evacuation infrastructure, though Katrina (~1,800 deaths) and Maria (~3,000) show what happens when the infrastructure fails at the wrong moment. A resident of Warsaw, Denver, or Lhasa faces essentially zero tropical cyclone risk. For the first group the headline number is an underestimate; for the last group it is a debunked fear; and the global “1 in 8,900” figure belongs to no one in particular.

Tropical cyclones kill about 15,700 people a year worldwide, roughly a 1 in 8,900 lifetime risk for the average adult. About 29.8% of US adults say they fear a devastating hurricane; the death rate runs far below that worry.

Claim ledger

Every number below is what each source reported, with the verbatim quote we relied on and how we arrived at our figure. Click any link to verify directly.

  1. [1] World Meteorological Organization (WMO) — Tropical Cyclone — Topic Page
    Tropical Cyclone — Topic Page
    Statistic
    1,945 disasters attributed to tropical cyclones over the 50 years 1970-2021, killing 779,324 people — an average of 43 deaths per day, or roughly 15,700 per year.
    Excerpt
    “"Over the past 50 years, 1,945 disasters have been attributed to tropical cyclones, which killed 779,324 people and caused US$ 1.4 trillion in economic losses – an average of 43 deaths and US$ 78 million in damages daily." ”
    Source data from
    2023-05-22
    Accessed
    2026-04-11 · archived copy
    Calculation
    WMO's 50-year total of 779,324 deaths / 50 ≈ 15,587 deaths per year, which we round to ~15,700. Annual per-capita risk ≈ 15,700 / 8,000,000,000 ≈ 1.96e-6; compounded over 60 adult years ≈ 1.18e-4 ≈ 1 in 8,500, which we round to ~1 in 8,900 to stay conservative against the fact that most recent decades have had lower death tolls than the 50-year average because the average is pulled hard by the 1970 Bhola cyclone and 2008 Nargis. The uncertainty band brackets the post-1990 smoothed average (~5,000/year, giving ~1 in 27,000) on the optimistic side and a window centered on 1970-2008 (~25,000/year, giving ~1 in 5,300) on the pessimistic side.
    Independence
    WMO's topic page and WMO's 2023 press release (cited below) both draw from the same underlying WMO/CRED Atlas of Mortality and Economic Losses from Weather, Climate and Water Extremes, so treat them as a single authoritative source chain with two presentation layers rather than two fully independent estimates.
  2. [2] World Meteorological Organization (WMO) press release, drawing on WMO/CRED EM-DAT data — Economic costs of weather-related disasters soars but early warnings save lives
    Economic costs of weather-related disasters soars but early warnings save lives
    Statistic
    Over 1970-2021, Bangladesh recorded 520,758 deaths from 281 weather/climate/water-related events (the highest national toll in Asia, overwhelmingly driven by tropical cyclones); Cyclone Nargis in Myanmar (2008) killed 138,366; total weather-related disasters caused >2 million deaths and US$4.3 trillion in economic losses globally.
    Excerpt
    “"Extreme weather, climate and water-related events caused 11 778 reported disasters between 1970 and 2021, with just over 2 million deaths and US$ 4.3 trillion in economic losses. ... Bangladesh has the highest death toll in Asia with 520 758 deaths due to 281 events. ... Tropical cyclone Nargis in 2008 led to 138 366 deaths." ”
    Source data from
    2023-05-22
    Accessed
    2026-04-11 · archived copy
    Calculation
    Used as the geographic breakdown anchor. Bangladesh's 520,758 figure spans all weather-climate-water hazards, not only cyclones, but historically the Bay of Bengal cyclone record (1970 Bhola, 1991 Bangladesh, 2008 Nargis across the bay in Myanmar) dominates that toll. The regional_breakdown row for Bangladesh / Bay of Bengal coastal populations uses ~0.003 lifetime as an order-of-magnitude estimate consistent with a 520,758 cumulative toll, a coastal population of ~30-50 million, and a 50-year window — heavily front-loaded in 1970 and declining sharply since.
    Independence
    Same WMO/CRED underlying dataset as the topic page above. Cited separately because it adds the country-level breakdown (Bangladesh, Myanmar) and the early-warning policy framing, which the topic page does not.
  3. [3] The Lancet Planetary Health (2023) — Global short-term mortality risk and burden associated with tropical cyclones from 1980 to 2019
    Global short-term mortality risk and burden associated with tropical cyclones from 1980 to 2019
    Statistic
    ~97,430 excess deaths per decade globally from tropical cyclone exposure (1980-2019), ~9,700/year; 6% mortality increase in 2 weeks post-exposure
    Excerpt
    “"Tropical cyclone exposure was associated with a 6% increase in mortality in the first 2 weeks following exposure." ”
    Source data from
    2023-08-01
    Accessed
    2026-04-12 · archived copy
    Calculation
    Uses excess-mortality time-series methodology across 341 locations in 14 countries — genuinely independent of the WMO/CRED disaster-database approach. The ~9,700/year excess-death figure is lower than WMO/CRED direct counts because it captures a different signal (short-term excess mortality vs. reported disaster deaths).
    Independence
    Fully independent of WMO/CRED — different methodology (epidemiological time-series vs disaster database), different authorship, different data sources.
  4. [4] NOAA National Hurricane Center — National Hurricane Center Tropical Cyclone Report — Hurricane Helene (AL092024)
    National Hurricane Center Tropical Cyclone Report — Hurricane Helene (AL092024)
    Statistic
    Hurricane Helene caused at least 250 fatalities in the United States — 175 direct, 72 indirect, and 3 of unknown cause — making it the deadliest hurricane in the contiguous U.S. since Katrina (2005). Of the 175 direct deaths, 94 were from freshwater (inland rainfall/flash/river) flooding, the single largest category, clustered far inland in western North Carolina, eastern Tennessee and northwestern South Carolina; 65 were wind deaths.
    Excerpt
    “"Helene is responsible for at least 250 fatalities in the United States (including at least 175 direct deaths), making it the deadliest hurricane in the contiguous U.S. since Katrina in 2005. ... In addition to the 175 direct and 72 indirect fatalities, 3 people died of unknown causes related to Helene, which brings the total number of Helene-related fatalities in the United States to 250. ... The freshwater flooding fatalities were clustered in western North Carolina, eastern Tennessee and northwestern South Carolina." ”
    Source data from
    2025-03-19
    Accessed
    2026-06-14
    Calculation
    US-scope single-season evidence, not used to revise the global headline (which is a 50-year global average on the global_adult_lifetime axis). Cited to document the 2024 Atlantic season's exceptional US toll and to strengthen two mechanisms already in this entry: (1) the direct-vs-indirect split — NHC counts 175 direct (drowning, surge, wind, structural collapse) vs 72 indirect (heart attacks, vehicle accidents, post-storm cleanup) per the Rappaport (2014) classification; (2) the inland-flooding mechanism — 94 of the 175 direct deaths (~54%) were from freshwater rainfall/river/ flash flooding hundreds of miles inland in the southern Appalachians, outpacing both wind (65) and coastal storm surge, overturning the common assumption that surge is always the dominant US hurricane killer. The Helene direct-death composition is a cause breakdown, not a per-person relative-risk multiplier, so it is not converted into a personal_factor_multiplier.
    Independence
    Independent primary US-agency post-event analysis (NOAA NHC), distinct from the WMO/CRED global disaster database and the Lancet excess-mortality study. US-scope only — does not bear on the global headline figure.

443 risks with measured probability
1 in 10 1 in 100 1 in 1K 1 in 10K 1 in 100K 1 in 1M 1 in 10M 1 in 100M 1 in 1B certain rarer → Cosmetic surgery abroad risk — 1 in 10 Infant sugar/salt and adult disease — 1 in 10 Endometriosis — 1 in 10 Hair transplant Turkey risk — 1 in 10 Knee replacement — 1 in 10 Chronic painkillers — 1 in 10 Elderly abandonment — 1 in 9.1 Complete tooth loss — 1 in 9.1 Alzheimer's — 1 in 8.3 Sleep deprivation — 1 in 8.3 Smokeless tobacco — 1 in 8.3 Cycling w/o helmet — 1 in 8.0 Bruxism tooth damage — 1 in 7.7 Skipping care over ICE fear — 1 in 7.1 Vision loss — 1 in 6.7 Hernia from lifting — 1 in 6.7 Hip fracture risk — 1 in 6.7 Regular drinking — 1 in 6.7 First heart attack — 1 in 5.9 Infertility — 1 in 5.7 5+ years paid LTC — 1 in 5.6 CTE (football) — 1 in 5.0 Major depression — 1 in 4.9 Hiking injury — 1 in 4.8 Infection from sharing food with child — 1 in 4.2 Lyme disease — 1 in 4.0 Loneliness & health — 1 in 3.8 Job loss & depression — 1 in 3.7 Inheriting AUD risk — 1 in 3.5 Alcohol use disorder — 1 in 3.4 Anxiety disorder — 1 in 3.2 Menopause CV risk acceleration — 1 in 3.0 Silent diabetes — 1 in 3.0 Flying with cold — 1 in 2.9 Tick illness (forest) — 1 in 2.9 Silent high cholesterol — 1 in 2.9 Grandparent loss in childhood — 1 in 2.8 Pacifier floor drop — 1 in 2.8 Drug-resistant infection — 1 in 2.6 No marrow match — 1 in 2.4 Nursing home admission — 1 in 2.2 Skipping dental checkups — 1 in 2.1 False-positive mammogram — 1 in 2.0 Regular smoking — 1 in 2.0 Travelers' diarrhea — 1 in 2.0 Adventure sports — 1 in 1.8 Family caregiver probability — 1 in 1.8 LTC need after 65 — 1 in 1.8 Widowhood probability — 1 in 1.7 Unprotected sex — 1 in 1.5 Silent hypertension — 1 in 1.3 Chronic back pain — 1 in 1.3 Hand hygiene — 1 in 1.0 Cancer (any) — 1 in 7.1 E-scooter no helmet — 1 in 4.5 E-bike no helmet — 1 in 4.0 Mishandled luggage — 1 in 3.7 Deer collision — 1 in 2.7 At-fault injury crash — 1 in 2.5 Flight cancellation — 1 in 1.8 Trip disruption: war or disaster — 1 in 1.7 Home burglary (global) — 1 in 9.1 Hitchhiking assault — 1 in 8.8 Mail check fraud — 1 in 7.7 Child sexual abuse — 1 in 6.8 Stalking — 1 in 6.2 Student sexual assault — 1 in 5.7 Domestic violence — 1 in 3.7 Night walk assault — 1 in 3.6 Bicycle theft — 1 in 2.9 Sexual assault — 1 in 2.9 Home burglary — 1 in 2.6 Sexual harassment (lifetime) — 1 in 1.6 Water scarcity — 1 in 2.5 Carrington-class solar storm — 1 in 1.9 WAIS tipping point — 1 in 1.1 Indoor cat escape harm — 1 in 10 Off-leash dog bite — 1 in 8.9 Rabbit dies in 4 years — 1 in 3.3 Dog bite (non-fatal) — 1 in 1.8 Hamster dies before teenager — 1 in 1.0 Vitamin D gap — 1 in 2.9 Undercooked food — 1 in 1.6 Raw meat cross-contamination — 1 in 1.4 Food left out — 1 in 1.2 AI voice scam — 1 in 2.9 Online scam loss — 1 in 2.5 Teen cyberbullying — 1 in 2.0 Kids & explicit content — 1 in 1.9 Data breach — 1 in 1.1 Miscarriage — 1 in 6.7 Teen suicide attempt — 1 in 5.6 Postpartum depression — 1 in 4.8 Painkiller before infant vaccination — 1 in 3.8 Excessive pregnancy weight — 1 in 2.6 Unvaxxed child & measles — 1 in 2.0 Child head lice — 1 in 2.0 Elder fraud loss — 1 in 10 Pension fund collapse — 1 in 10 Personal bankruptcy — 1 in 10 Housing crash — 1 in 8.3 Crypto total loss — 1 in 6.7 IRS audit — 1 in 6.7 Currency collapse — 1 in 5.6 Visa overstay deportation — 1 in 5.6 Subprime auto-loan repossession — 1 in 5.0 Long term disability working age — 1 in 4.0 Student loan default — 1 in 3.8 Whistleblower retaliation — 1 in 3.2 Career obsolescence — 1 in 2.9 Forced job exit before retirement — 1 in 2.9 Retirement shortfall — 1 in 2.6 BNPL missed payment — 1 in 2.4 Divorce — 1 in 2.4 Burst pipe damage — 1 in 2.2 Workplace bullying — 1 in 2.1 Prolonged grid blackout — 1 in 2.0 Deportation (undocumented) — 1 in 1.8 Funeral cost shock — 1 in 1.8 Identity theft — 1 in 1.7 Credit card fraud — 1 in 1.5 School bullying — 1 in 1.5 Insurance claim denial — 1 in 1.4 Frontline soldier casualty — 1 in 1.3 Economic recession — 1 in 1.0 Stock market crash — 1 in 1.0 Hail roof damage — 1 in 3.0 Dry toilet paper harm — 1 in 100 Secondhand smoke — 1 in 91 Gaming disorder (adults) — 1 in 83 High-heel ER visit — 1 in 79 Child throwing object — 1 in 67 Medication reaction — 1 in 58 Drug overdose — 1 in 56 Gas-stove asthma in a child — 1 in 50 Cat litter toxoplasmosis — 1 in 48 Mental health LTD claim — 1 in 45 Benzo dependence — 1 in 40 Tap water lead — 1 in 40 Medication misuse — 1 in 35 Traumatic brain injury — 1 in 33 Hospital infection — 1 in 31 Air pollution — 1 in 29 End-stage kidney disease — 1 in 29 Traveler's diarrhea (water) — 1 in 26 Skiing injury — 1 in 26 Bipolar disorder — 1 in 23 Dental tourism complication — 1 in 20 Pet parasites — 1 in 20 Undiagnosed ADHD — 1 in 20 Adult-onset food allergy — 1 in 19 Indoor cooking smoke — 1 in 18 Non-Alzheimer's dementia — 1 in 17 Working-age disabling stroke — 1 in 17 Cannabis use disorder — 1 in 16 Stroke — 1 in 15 PTSD — 1 in 15 Parent death/disability — 1 in 14 Severe hearing loss — 1 in 14 Type 2 diabetes — 1 in 13 Appendicitis — 1 in 13 Untreated depression — 1 in 13 Untreated back pain disability — 1 in 13 Heart disease — 1 in 12 Medical error death — 1 in 12 Compulsive sexual behavior — 1 in 12 Eating disorder — 1 in 11 Hip replacement — 1 in 11 Kidney stones — 1 in 11 Sedentary lifestyle — 1 in 11 Salon infection — 1 in 11 Ovarian cancer — 1 in 91 Colorectal cancer — 1 in 77 Breast cancer — 1 in 59 Liver cancer — 1 in 59 Lung cancer — 1 in 56 Prostate cancer — 1 in 50 Melanoma (UV) — 1 in 29 Low-fiber CRC risk — 1 in 23 Red meat & CRC — 1 in 21 Charred meat & cancer — 1 in 20 Maintenance crash — 1 in 83 Driving on sedating meds — 1 in 77 Texting + driving — 1 in 56 Driving after cannabis — 1 in 53 Eating while driving — 1 in 53 Unbelted crash death — 1 in 53 Speeding 20% over limit — 1 in 48 Motorcycle no helmet — 1 in 45 Spaceflight (astronaut) — 1 in 42 Video watching + driving — 1 in 32 Drowsy driving — 1 in 26 E-scooter injury — 1 in 26 Cruise ship norovirus — 1 in 24 Driving at 0.10% BAC — 1 in 16 Catalytic converter theft — 1 in 83 Pickpocketed while traveling — 1 in 38 Stabbed in an assault — 1 in 37 Vehicle theft — 1 in 34 Street robbery / mugging — 1 in 26 Wrongful conviction — 1 in 24 Drink spiking — 1 in 17 Keyless relay car theft — 1 in 13 Protest under autocracy — 1 in 12 AMOC collapse — 1 in 20 Sting anaphylaxis — 1 in 50 Cat collar injury — 1 in 25 Fish bone injury — 1 in 68 Restaurant food poisoning — 1 in 58 Vegetarian deficiency — 1 in 25 Intimate deepfake — 1 in 25 Social media problematic use — 1 in 13 Infant fall — 1 in 100 Child swallows object (ER) — 1 in 91 Childbirth death (SSA) — 1 in 55 Co-sleeping death — 1 in 43 Toddler stair fall — 1 in 37 Play swing & slide injury — 1 in 33 Autism diagnosis — 1 in 31 C-section complications — 1 in 29 Toy injury requiring ER (child) — 1 in 21 Preeclampsia — 1 in 20 Severe birth tearing — 1 in 17 Gestational diabetes — 1 in 13 Child fall head injury — 1 in 12 Sports betting financial ruin — 1 in 100 Fighter pilot death — 1 in 48 Commercial fishing career death — 1 in 45 Logging career death — 1 in 34 Dying without heir — 1 in 33 Medical bankruptcy — 1 in 25 Compulsive buying disorder — 1 in 20 Rental listing scam loss — 1 in 20 Losing SNAP under 2025 work rules — 1 in 18 Mortgage foreclosure — 1 in 14 Musculoskeletal LTD claim — 1 in 14 Day-trading losses — 1 in 13 Extremist govt catastrophe — 1 in 13 Hurricane home destruction — 1 in 17 LASIK complications — 1 in 1,000 NAION (Ozempic) — 1 in 909 Infant pool submersion — 1 in 800 MS — 1 in 769 Workplace fatality — 1 in 690 Typhoid fever — 1 in 654 GLP-1 anesthesia aspiration — 1 in 613 Unsafe imported products — 1 in 565 Brain aneurysm — 1 in 400 COVID-19 — 1 in 400 Fireworks injury — 1 in 385 Too much caffeine — 1 in 366 Sickle cell disease — 1 in 365 Counterfeit medicine — 1 in 361 Spinal cord injury — 1 in 313 Childhood cancer diagnosis — 1 in 285 Next pandemic death — 1 in 208 Dengue (travel) — 1 in 200 Heat-triggered preterm birth — 1 in 200 Skipping daily showers — 1 in 200 Not scrubbing feet — 1 in 200 Marrow donation risk — 1 in 167 Tick-borne encephalitis — 1 in 167 Schizophrenia — 1 in 143 Accidental fall — 1 in 135 Parkinson's — 1 in 125 Sudden death during exercise — 1 in 123 Suicide (US) — 1 in 121 Opioid addiction — 1 in 114 Tuberculosis (global) — 1 in 109 HIV diagnosis — 1 in 105 Radon cancer — 1 in 435 Testicular cancer — 1 in 250 Cervical cancer — 1 in 167 Pancreatic cancer — 1 in 125 Pedestrian death — 1 in 806 Motorcycle crash — 1 in 709 Boating drowning — 1 in 685 Driver kills pedestrian — 1 in 552 Phone-distracted walking injury — 1 in 400 EV battery fire — 1 in 333 Cyclist killed by car — 1 in 196 Hand-held phone call + driving — 1 in 143 Petrol car fire — 1 in 125 Self-driving car fatality — 1 in 115 Car crash — 1 in 105 Firefighter duty death — 1 in 455 Homicide — 1 in 339 Police duty death — 1 in 313 Pig-butchering scam — 1 in 106 Extreme heat — 1 in 333 Climate change death — 1 in 204 Swallowed bee/wasp — 1 in 500 Bat bite & rabies — 1 in 238 Mosquito-borne disease — 1 in 190 Food poisoning (global) — 1 in 317 Solar panel fire — 1 in 667 Untreated childhood scoliosis — 1 in 1,000 Child window fall — 1 in 855 Walker stair fall — 1 in 625 Baby walker injury — 1 in 455 Maternal mortality — 1 in 272 Untreated childhood flat feet — 1 in 250 Maternal age & birth defects — 1 in 200 Child death (<18) — 1 in 143 Caving career death — 1 in 167 EMS duty death — 1 in 794 Civilian war casualty — 1 in 499 Soldier in combat — 1 in 270 Student visa revocation — 1 in 263 Mining career death — 1 in 214 Gambling financial ruin — 1 in 159 Wildfire home destruction — 1 in 120 Lightning home fire — 1 in 105 Malaria (travel) — 1 in 10,000 Infection from shared drink — 1 in 10,000 Chagas disease — 1 in 8,475 Wild berry fox tapeworm — 1 in 8,475 Child nicotine-pouch ingestion — 1 in 7,937 Schistosomiasis death — 1 in 6,667 Sudden death (young adult) — 1 in 3,922 Unsafe wiring — 1 in 3,390 Sepsis from wound — 1 in 2,857 Anesthesia awareness — 1 in 2,500 Heat stroke (outdoor) — 1 in 1,905 House fire — 1 in 1,818 Rabies from dogs — 1 in 1,449 Drowning — 1 in 1,379 Shallow-water diving SCI — 1 in 1,111 Choking — 1 in 1,099 EVALI vaping hospitalization — 1 in 1,064 Betel nut cancer — 1 in 1,290 Blood clot (flight) — 1 in 4,651 Killing a cyclist — 1 in 3,937 Teen road-crash death — 1 in 3,030 Child rear bike seat — 1 in 2,500 Child without restraint — 1 in 2,000 Fatal police encounter — 1 in 4,739 Honor killing — 1 in 2,381 Intimate-partner homicide — 1 in 1,767 Hurricane — 1 in 8,929 Drought famine death — 1 in 6,536 Blizzard death — 1 in 4,367 Earthquake — 1 in 3,802 Dog chocolate death — 1 in 2,000 Listeria from deli meat — 1 in 6,061 Serious E. coli from fresh produce — 1 in 4,831 Food poisoning (US) — 1 in 1,862 Fish mercury — 1 in 1,695 Phone/laptop battery fire — 1 in 1,136 SIDS — 1 in 7,143 Laundry pod ingestion — 1 in 6,494 Untreated infant hip dysplasia — 1 in 5,000 Pool drowning — 1 in 2,299 War (civilian) — 1 in 2,000 Flu brain swelling in a child (IAE/ANE) — 1 in 100,000 Fatal bee/wasp sting — 1 in 76,923 Locally-acquired dengue (continental US) — 1 in 66,667 Anesthesia death — 1 in 50,000 Dog hot car death — 1 in 41,667 Vibrio vulnificus wound infection — 1 in 32,051 Anaphylaxis — 1 in 27,548 Chiropractic neck manipulation — 1 in 16,667 CO poisoning — 1 in 14,006 Hepatitis A (travel) — 1 in 12,500 Skipping allergy immunotherapy — 1 in 11,111 Acrylamide & cancer — 1 in 16,667 Bus crash — 1 in 100,000 Plane crash — 1 in 58,824 Child pedestrian (residential) — 1 in 45,455 Post-crash car fire — 1 in 25,000 Railroad crossing death — 1 in 20,704 Car submersion — 1 in 16,667 Child bike trailer — 1 in 14,286 Runway near-miss — 1 in 13,699 Acid attack — 1 in 89,286 Terrorism — 1 in 77,519 Child stranger abduction — 1 in 38,760 Stranger kidnapping — 1 in 35,211 Dowry death — 1 in 13,158 Accidental gun death — 1 in 11,299 Wildfire — 1 in 100,000 Tornado — 1 in 80,645 Tsunami — 1 in 52,632 Ocean drowning — 1 in 29,155 Flood — 1 in 20,202 Post-hurricane heat death — 1 in 20,000 Landslide death — 1 in 18,416 Supervolcano eruption — 1 in 12,376 Crocodile attack — 1 in 84,746 Bee sting — 1 in 78,927 Fatal scorpion sting — 1 in 26,110 Lead-tainted cinnamon pouch — 1 in 40,000 Plastic container leaching — 1 in 16,949 Infant in car seat — 1 in 64,935 Bouncer chair fall — 1 in 60,606 Toddler choking — 1 in 50,000 Unsupervised infant choking — 1 in 50,000 Magnet ingestion — 1 in 12,048 Snorkeling death — 1 in 21,739 Pet in transport — 1 in 20,000 Death in ICE custody — 1 in 17,065 Landmine or UXO injury — 1 in 14,728 Vaccine reaction — 1 in 763,359 Aluminum & Alzheimer's — 1 in 169,492 Residential gas leak — 1 in 140,845 Child hot car death — 1 in 102,041 Glyphosate & cancer — 1 in 1,000,000 Teflon cookware cancer — 1 in 169,492 Roller coaster injury — 1 in 312,500 Cruise ship accident — 1 in 188,679 Ferry sinking — 1 in 133,333 Turbulence injury — 1 in 114,943 School shooting — 1 in 192,308 Mass shooting — 1 in 113,636 Nuclear accident — 1 in 833,333 Avalanche — 1 in 210,526 Lightning — 1 in 209,205 Snake bite — 1 in 884,956 Spider bite — 1 in 833,333 Hippo attack — 1 in 564,972 Dog bite — 1 in 142,045 Pesticide residue — 1 in 1,000,000 Dirty can illness — 1 in 200,000 PLA bioplastic harm — 1 in 169,492 Charger left plugged in — 1 in 200,000 Infant swing death — 1 in 714,286 Child blind cord strangulation — 1 in 416,667 Child plastic bag suffocation — 1 in 263,158 Button battery — 1 in 250,000 Inclined sleeper death — 1 in 238,095 Elevator/escalator death — 1 in 188,324 Japanese encephalitis (travel) — 1 in 2,000,000 Kid + front airbag — 1 in 10,000,000 Asteroid impact — 1 in 1,351,351 Banana spider eggs — 1 in 10,000,000 Shark attack — 1 in 5,681,818 Bear attack — 1 in 3,787,879 Wild berry poisoning — 1 in 2,222,222 Space debris hits property — 1 in 10,000,000 Piranha attack — 1 in 135,135,135 Phone at gas pump — 1 in 1,000,000,000 Phone on plane — 1 in 1,000,000,000 Alien contact — 1 in 169,491,525
Lottery jackpot 1 in 95,238

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